2022 unit information
Not offered in 2022
Must be enrolled in M800 or M900.
Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
1 x 3 hour class per week
This course uses a wide variety of econometric tools based on statistics and mathematics to analyse economic and financial concepts. This course provides the techniques required to quantify the strength and form of relationships among variables of interest, and the strategies needed in order to use these techniques effectively. More specifically this course covers the theory of classical linear regression model, and other estimation methods including IV, GMM and maximum likelihood. The second half of this course will focus on special topic in micro-econometric modeling and time series analysis.
GLO1: Discipline-specific knowledge and capabilitiesGLO3: Digital literacy
GLO1: Discipline-specific knowledge and capabilitiesGLO3: Digital literacyGLO4: Critical thinking
GLO1: Discipline-specific knowledge and capabilitiesGLO3: Digital literacyGLO4: Critical thinkingGLO5: Problem solving
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
Assessment 1: (Individual) Problem Sets
Assessment 2: (Individual) Problem Sets
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Hurdle requirement: Achieve at least 50% of the marks available on the examination.
The texts and reading list for the unit can be found on the University Library via the link below: MAE901 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
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